Your Location:
Home >
Browse articles >
Research on Recommendation Algorithm for Main Girders of Railway Bridges Based on Graph Neural Networks
Bridge Engineering | Updated:2025-08-08
    • Research on Recommendation Algorithm for Main Girders of Railway Bridges Based on Graph Neural Networks

    • BAI Huajun , ZHENG Hong , CHEN Ling , GUI Hao
    • Railway Standard Design Vol. 69, Issue 8, Pages: 72-79(2025)
    • DOI: 10.13238/j.issn.1004-2954.202306170001     

      CLC:
    • Revised:2023-08-31 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 10 ) Tabs( 4 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

26

Views

32

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Overall Curve Layout and Setting-Out of Simply Supported Beam Bridges with Variable Track Spacing in Multi-Track Railway Sections
Study on Identification of Railway Subgrade Mud Pumping Based on Convolutional Neural Network and Attention Mechanism
Research on Cross-Platform Parametric Modeling Method for Bridge Engineering
Research on Componentized and Digital Design Method for Reinforcement Components of Segmental Precast Box Girders
Research on Technical Development and Innovation of Railway Simply Supported T-Beam

Related Author

CHEN Pengfei
YE Kun
LI Zheng
ZHANG Xiuyun
LIAO Lijian
WANG Yuquan
ZHU Ruilong
QIAO Haoyu

Related Institution

China Railway Design Corporation
Xi'an Huachuang Civil Engineering Technology Co.,Ltd.
CCCC Second Highway Engineering Co., Ltd.
The 4th Engineering Co.,Ltd.,China Railway Major Bridge Engineering Group Co.,Ltd.
State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Tiedao University